AIMC Topic: Telepathology

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Quantitative Assessment of the Effects of Compression on Deep Learning in Digital Pathology Image Analysis.

JCO clinical cancer informatics Mar 1, 2020
PURPOSE: Deep learning (DL), a class of approaches involving self-learned discriminative features, is increasingly being applied to digital pathology (DP) images for tasks such as disease identification and segmentation of tissue primitives (eg, nucl...
Humans Algorithms Neoplasms Deep Learning ROC Curve Signal Processing, Computer-Assisted Benchmarking Quality Control Image Interpretation, Computer-Assisted Observer Variation Data Compression Pathology, Clinical Telepathology
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Artificial intelligence can augment global pathology initiatives.

Lancet (London, England) Dec 1, 2018
Humans Artificial Intelligence Global Health Developing Countries Telepathology Clinical Laboratory Techniques
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Artificial Intelligence for Pathologists Is Not Near--It Is Here: Description of a Prototype That Can Transform How We Practice Pathology Tomorrow.

Archives of pathology & laboratory medicine Jul 1, 2015
CONTEXT: Pathologists' daily tasks consist of both the professional interpretation of slides and the secretarial tasks of translating these interpretations into final pathology reports, the latter of which is a time-consuming endeavor for most pathol...
Humans Artificial Intelligence Image Processing, Computer-Assisted Pathology, Clinical Telepathology
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